基于变周期梯形毫米波二维配对多目标检测算法
Two-Dimensional Pairing Multi-Target Detection Algorithm Based on Variable Periodic Trapezoidal Millimeter Wave
  
DOI:
中文关键词:  毫米波雷达,梯形连续波,多目标检测,变周期
英文关键词:millimeter wave radar, trapezoidal continuous wave, multi-target detection, variable period
基金项目:
作者单位
黄 梁1 朱 莉1 张 盛2 张 喆2 1.南京理工大学电光学院探测与控制工程系,南京210094
2.淮海工业集团有限公司,长治046012 
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中文摘要:
      毫米波FMCW 雷达体积小、工作频带宽、分辨率高且抗干扰性能强,基于毫米波雷达的多目标检测算 法是目前研究热点。但现有的基于FMCW 的雷达多目标检测算法存在大量虚警、漏检的问题。文中研究了梯形调 频连续波的发射波形并分析了典型的梯形多目标匹配算法,在此基础上结合频域-二维配对法对发射波形及多目标 算法加以改进,提出了改进变周期梯形波及多目标检测算法,提高了多目标识别的准确度。
英文摘要:
      The millimeter-wave FMCW radar has small volume, wide operation frequency band, high resolution and strong anti-interference performance. The multi-target detection algorithm based on millimeter wave radar is a hot research topic. However, the existing FMCW-based radar multi-target detection algorithm has a large number of false alarms and missed detection problems. In this thesis, the emission waveform of trapezoidal frequency modulated continuous wave is studied and the typical trapezoidal multi-target matching algorithm is analyzed. Based on this, the frequency domain two-dimensional pairing method is combined to improve the transmitted waveform and multi-objective algorithm, and an improved variable period is proposed. The trapezoidal wave and multi-target detection algorithm improves the accuracy of multi-target recognition.
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